Evidence map›Paper›PMID 28980092›Full record

ArticleCytotechnology2018

Applications of a metabolic network model of mesenchymal stem cells for controlling cell proliferation and differentiation.

Hamideh Fouladiha, Sayed-Amir Marashi, Mohammad Ali Shokrgozar, Mehdi Farokhi, Amir Atashi

Open access · bronzeAbstract read
In one paragraph

Article in Cytotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Hamideh FouladihaDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran.
Sayed-Amir MarashiDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran. marashi@ut.ac.ir.
Mohammad Ali ShokrgozarNational Cell Bank of Iran, Pasteur Institute of Iran, Tehran, Iran.
Mehdi FarokhiNational Cell Bank of Iran, Pasteur Institute of Iran, Tehran, Iran.
Amir AtashiStem Cell and Tissue Engineering Research Center, Shahroud University of Medical Sciences, Shahroud, Iran.
Pasteur Institute of Iran · IRUniversity of Tehran · IRShahroud University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal stem cells (MSCs) can be isolated from several tissues of adults. In addition, MSCs have the potential of differentiation into several cell types. Therefore, MSCs are very useful in stem cell therapy and regenerative medicine. MSCs have also been used as gene or protein carriers. As a result, maintaining MSCs in a desirable metabolic state has been the subject of several studies. Here, we used a genome scale metabolic network model of bone marrow derived MSCs for exploring the metabolism of these cells. We analyzed metabolic fluxes of the model in order to find ways of increasing stem cell proliferation and differentiation. Consequently, the experimental results were in consistency with computational results. Therefore, analyzing metabolic models was proven to be a promising field in biomedical researches of stem cells.

Indexed as

DifferentiationMesenchymal stem cell (MSC)Metabolic networksModelingProliferation

Identifiers

PMID28980092
PMCPMC5809662
OpenAlexW2761345326

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.